Abstract: SciPy is an open-source scientific computing library for the Python programming language. Since its initial release in 2001, SciPy has become a de facto standard for leveraging scientific algorithms in Python, with over 600 unique code contributors, thousands of dependent packages, over 100,000 dependent repositories and millions of downloads per year. In this work, we provide an overview of the capabilities and development practices of SciPy 1.0 and highlight some recent technical developments.
Garbage In, Garbage Out? Do Machine Learning Application Papers in Social Computing Report Where Human-Labeled Training Data Comes From?
Early immune stimulation and childhood acute lymphoblastic leukemia in Costa Rica: A comparison of statistical approaches
A short paper (or note) quantitatively examining changing paper lengths in the Proceedings of the ACM Conference on Computer-Supported Cooperative Work. I focus on several major changes in editorial policy as natural experiments, particularly around the rise and fall of the 4-page “note” format (which was a formal submission category from 2004-2012) and the venue’s decision in 2013 to remove all official minimum and maximum length restrictions.